Kraken MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Kraken through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Kraken, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Kraken MCP Server
Connect to Kraken and access real-time cryptocurrency market data through natural conversation — no API key needed for public data.
The Vercel AI SDK gives every Kraken tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Live Tickers — Get current prices, 24h volume, VWAP and high/low for any trading pair
- OHLC Candles — Retrieve candlestick data with multiple timeframes (1m to 15d)
- Order Book — View current bids and asks with market depth analysis
- Recent Trades — See the most recent completed trades with price, volume and side
- Asset Info — Get details about all supported cryptocurrencies and fiat currencies
- Trading Pairs — Explore all available trading pairs with their specifications
- Spread Data — Analyze bid/ask spreads for liquidity assessment
The Kraken MCP Server exposes 8 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Kraken to Vercel AI SDK via MCP
Follow these steps to integrate the Kraken MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from Kraken and passes them to the LLM
Why Use Vercel AI SDK with the Kraken MCP Server
Vercel AI SDK provides unique advantages when paired with Kraken through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Kraken integration everywhere
Built-in streaming UI primitives let you display Kraken tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Kraken + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Kraken MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Kraken in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Kraken tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Kraken capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Kraken through natural language queries
Kraken MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Kraken to Vercel AI SDK via MCP:
get_asset_info
Returns asset name, alternate names, decimals, status and collateral support. Optionally filter by specific assets (comma-separated). Get information about Kraken assets
get_asset_pairs
Returns pair name, alt name, base/quote assets, lot volume decimals, pair decimals, order minimums and trading leverage. Optionally filter by a specific pair. Get information about Kraken trading pairs
get_ohlc
Each candle includes time, open, high, low, close, VWAP, volume and trade count. Supports intervals: 1 (1min), 5, 15, 30, 60 (1h), 240 (4h), 1440 (1d), 10080 (1w), 21600 (15d). Optionally provide since timestamp for incremental data. Get OHLCV candlestick data for a trading pair
get_order_book
Each level includes price and volume. The count parameter controls the number of levels returned (1-500, default 100). Useful for analyzing market depth and liquidity. Get the current order book for a trading pair
get_server_time
Returns the Unix timestamp and RFC 1123 time. Useful for synchronizing with the exchange server and verifying API connectivity. Get Kraken server time
get_spread
Returns recent spreads with bid price, ask price, time (Unix timestamp) and volume. Useful for analyzing liquidity and trading costs. Get recent spread data for a trading pair
get_ticker
Returns best bid/ask prices, last trade price, 24h volume, VWAP, high/low prices and trade counts. Pair names can be standard (XBTUSD) or alt (BTCUSD). Multiple pairs comma-separated. Get current ticker information for trading pairs
get_trades
Each trade includes price, volume, time (Unix timestamp), side (buy/sell), order type (market/limit) and misc info. Returns up to 1000 most recent trades. Optionally provide since timestamp for pagination. Get recent trades for a trading pair
Example Prompts for Kraken in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Kraken immediately.
"What is the current price of Bitcoin in USD?"
"Show me the 1-hour OHLC for Ethereum over the last 24 candles."
"What are the recent trades for SOL/USD?"
Troubleshooting Kraken MCP Server with Vercel AI SDK
Common issues when connecting Kraken to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpKraken + Vercel AI SDK FAQ
Common questions about integrating Kraken MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Kraken with your favorite client
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
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Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Kraken to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.